wiki_hu_ner

terhdavid/wiki_hu_ner

wiki_hu_ner is a token classification model from terhdavid. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 28, 2023
Updated: Aug 28, 2023
SHA: ccfc3300

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Base models

Datasets

wikiann

Model card

From the Hugging Face model README

wiki_hu_ner

This model is a fine-tuned version of distilbert-base-uncased on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.1585
Precision: 0.8669
Recall: 0.8782
F1: 0.8725
Accuracy: 0.9632

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2429	1.0	1250	0.1849	0.8047	0.8153	0.8100	0.9448
0.1371	2.0	2500	0.1505	0.8455	0.8577	0.8516	0.9576
0.0986	3.0	3750	0.1516	0.8520	0.8708	0.8613	0.9603
0.0695	4.0	5000	0.1500	0.8656	0.8745	0.8700	0.9624
0.0489	5.0	6250	0.1585	0.8669	0.8782	0.8725	0.9632

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 28, 2023
Updated: Aug 28, 2023